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r

Versions and Availability

h4

h5
Module Names for r on deepbayou
Machine Version Module Name
deepbayou 3.6.2 r/3.6.2/intel-19.1.3
deepbayou 4.0.3 r/4.0.3/intel-19.1.3

▶ Module FAQ?

The information here is applicable to LSU HPC and LONI systems.

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Shells

A user may choose between using /bin/bash and /bin/tcsh. Details about each shell follows.

/bin/bash

System resource file: /etc/profile

When one access the shell, the following user files are read in if they exist (in order):

  1. ~/.bash_profile (anything sent to STDOUT or STDERR will cause things like rsync to break)
  2. ~/.bashrc (interactive login only)
  3. ~/.profile

When a user logs out of an interactive session, the file ~/.bash_logout is executed if it exists.

The default value of the environmental variable, PATH, is set automatically using Modules. See below for more information.

/bin/tcsh

The file ~/.cshrc is used to customize the user's environment if his login shell is /bin/tcsh.

Modules

Modules is a utility which helps users manage the complex business of setting up their shell environment in the face of potentially conflicting application versions and libraries.

Default Setup

When a user logs in, the system looks for a file named .modules in their home directory. This file contains module commands to set up the initial shell environment.

Viewing Available Modules

The command

$ module avail

displays a list of all the modules available. The list will look something like:

--- some stuff deleted ---
velvet/1.2.10/INTEL-14.0.2
vmatch/2.2.2

---------------- /usr/local/packages/Modules/modulefiles/admin -----------------
EasyBuild/1.11.1       GCC/4.9.0              INTEL-140-MPICH/3.1.1
EasyBuild/1.13.0       INTEL/14.0.2           INTEL-140-MVAPICH2/2.0
--- some stuff deleted ---

The module names take the form appname/version/compiler, providing the application name, the version, and information about how it was compiled (if needed).

Managing Modules

Besides avail, there are other basic module commands to use for manipulating the environment. These include:

add/load mod1 mod2 ... modn . . . Add modules
rm/unload mod1 mod2 ... modn  . . Remove modules
switch/swap mod . . . . . . . . . Switch or swap one module for another
display/show  . . . . . . . . . . List modules loaded in the environment
avail . . . . . . . . . . . . . . List available module names
whatis mod1 mod2 ... modn . . . . Describe listed modules

The -h option to module will list all available commands.

▶ Did not find the version you want to use??

If a software package you would like to use for your research is not available on a cluster, you can request it to be installed. The software requests are evaluated by the HPC staff on a case-by-case basis. Before you send in a software request, please go through the information below.

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Types of request

Depending on how many users need to use the software, software requests are divided into three types, each of which corresponds to the location where the software is installed:

  • The user's home directory
    • Software packages installed here will be accessible only to the user.
    • It is suitable for software packages that will be used by a single user.
    • Python, Perl and R modules should be installed here.
  • /project
    • Software packages installed in /project can be accessed by a group of users.
    • It is suitable for software packages that
      • Need to be shared by users from the same research group, or
      • are bigger than the quota on the home file syste.
    • This type of request must be sent by the PI of the research group, who may be asked to apply for a storage allocation.
  • /usr/local/packages
    • Software packages installed under /usr/local/packages can be accessed by all users.
    • It is suitable for software packages that will be used by users from multiple research groups.
    • This type of request must be sent by the PI of a research group.

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How to request

Please send an email to sys-help@loni.org with the following information:

  • Your user name
  • The name of cluster where you want to use the requested software
  • The name, version and download link of the software
  • Specific installation instructions if any (e.g. compiler flags, variants and flavor, etc.)
  • Why the software is needed
  • Where the software should be installed (locally, /project, or /usr/local/packages) and justification explaining how many users are expected.

Please note that, once the software is installed, testing and validation are users' responsibility.

About the Software

R is 'GNU S', a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. Please consult the R project homepage for further information.

Usage

On Super Mike 2, R 3.2.0 was compiled by gcc 4.7.2. So make sure gcc 4.7.2 has been added into the user environment by softenv. If not, as the default gcc loaded is 4.4.6, following error messages when trying to use R 3.2.0 will appear:

$ R
WARNING: ignoring environment value of R_HOME
/usr/local/packages/R/3.2.0/gcc-4.7.2/lib64/R/bin/exec/R: error while loading shared libraries: libquadmath.so.0: cannot open shared object file: No such file or directory
    
and R will not run. So again please make sure gcc 4.7.2 has been loaded.

R may be run either interactively via the R console, or as a batch process reading commands from a script file.

To launch the R console, simply execute the R command. After the console is launched, users can run R commands at the prompt:

$ R

R version 3.1.0 (2014-04-10) -- "Spring Dance"
Copyright (C) 2014 The R Foundation for Statistical Computing
Platform: x86_64-unknown-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

  Natural language support but running in an English locale

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- 5
> x
[1] 5
> m <- matrix(1:6,2,3)
> m
     [,1] [,2] [,3]
[1,]    1    3    5
[2,]    2    4    6
    

Rscript, on the other hand, can be used to run a R scirpt in which a sequence of R commands has been saved. The syntax is:

	$ Rscript <options> <name of the R script>
    

For example:

	$ cat hello.R 
	print("Hello World!")
	$ Rscript hello.R 
	[1] "Hello World!"
    

▶ QSub FAQ?

Portable Batch System: qsub

qsub

All HPC@LSU clusters use the Portable Batch System (PBS) for production processing. Jobs are submitted to PBS using the qsub command. A PBS job file is basically a shell script which also contains directives for PBS.

Usage
$ qsub job_script

Where job_script is the name of the file containing the script.

PBS Directives

PBS directives take the form:

#PBS -X value

Where X is one of many single letter options, and value is the desired setting. All PBS directives must appear before any active shell statement.

Example Job Script
 #!/bin/bash
 #
 # Use "workq" as the job queue, and specify the allocation code.
 #
 #PBS -q workq
 #PBS -A your_allocation_code
 # 
 # Assuming you want to run 16 processes, and each node supports 4 processes, 
 # you need to ask for a total of 4 nodes. The number of processes per node 
 # will vary from machine to machine, so double-check that your have the right 
 # values before submitting the job.
 #
 #PBS -l nodes=4:ppn=4
 # 
 # Set the maximum wall-clock time. In this case, 10 minutes.
 #
 #PBS -l walltime=00:10:00
 # 
 # Specify the name of a file which will receive all standard output,
 # and merge standard error with standard output.
 #
 #PBS -o /scratch/myName/parallel/output
 #PBS -j oe
 # 
 # Give the job a name so it can be easily tracked with qstat.
 #
 #PBS -N MyParJob
 #
 # That is it for PBS instructions. The rest of the file is a shell script.
 # 
 # PLEASE ADOPT THE EXECUTION SCHEME USED HERE IN YOUR OWN PBS SCRIPTS:
 #
 #   1. Copy the necessary files from your home directory to your scratch directory.
 #   2. Execute in your scratch directory.
 #   3. Copy any necessary files back to your home directory.

 # Let's mark the time things get started.

 date

 # Set some handy environment variables.

 export HOME_DIR=/home/$USER/parallel
 export WORK_DIR=/scratch/myName/parallel
 
 # Set a variable that will be used to tell MPI how many processes will be run.
 # This makes sure MPI gets the same information provided to PBS above.

 export NPROCS=`wc -l $PBS_NODEFILE |gawk '//{print $1}'`

 # Copy the files, jump to WORK_DIR, and execute! The program is named "hydro".

 cp $HOME_DIR/hydro $WORK_DIR
 cd $WORK_DIR
 mpirun -machinefile $PBS_NODEFILE -np $NPROCS $WORK_DIR/hydro

 # Mark the time processing ends.

 date
 
 # And we're out'a here!

 exit 0

Resources

Last modified: April 16 2021 13:19:28.